Connective data: Markov chain models and the datafication of cervical cancer and HPV vaccination in Colombia

Oscar Javier Maldonado Castaneda

Connective data: Markov chain models and the datafication of cervical cancer and HPV vaccination in Colombia

Título traducido de la contribución: Datos conectivos: Módelos de cadena de Markov y la datificación del cáncer de cuello uterino y la vacunación contra VPH en Colombia

Oscar Javier Maldonado Castaneda

Escuela de Ciencias Humanas

Producción científica: Contribución a revista › Artículo de Investigación › revisión exhaustiva

Resumen

Este artículo explora el papel de la modelación estadística en la producción de objetos epidemiológicos coherentes en un contexto en el que los datos son percibidos como frágiles y precarios. Analiza el uso de los modelos de Cadena de Markov en los estudios de costo-efectividad de las vacunas contra VPH en Colombia. El modelo de Cadena de Markov tiene un papel muy importante en la producción de una ‘cohorte nacional' de mujeres sobre la cual es posible correr un test ‘virtual’ sobre la efectividad de las vacunas, transformando información proveniente de literatura internacional en datos nacionales y locales. El ejercicio de modelación es clave en la datificación del cáncer de cuello uterino y en la vacunación contra VPH. En diálogo con los estudios sobre producción de datos, estadísticas y modelación, examino el papel de las estadísticas y otras dinámicas de datos en la producción de la vacunación contra VPH como asunto de salud pública

Título traducido de la contribución	Datos conectivos: Módelos de cadena de Markov y la datificación del cáncer de cuello uterino y la vacunación contra VPH en Colombia
Idioma original	Inglés estadounidense
Número de artículo	1874744
Publicación	Tapuya: Latin American Science, Technology and Society
Estado	Publicada - feb. 21 2021

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

Otros archivos y enlaces

https://www.tandfonline.com/doi/full/10.1080/25729861.2021.1874744

Citar esto

@article{56963e0872cf40a3ad9550a3ff3a67c0,

title = "Connective data: Markov chain models and the datafication of cervical cancer and HPV vaccination in Colombia",

abstract = "This article explores the role of statistical modeling in the production of sound epidemiological objects in a context in which data are perceived as fragile and precarious. It analyzes the use of Markov chain modeling in the evaluation of cost-effectiveness of HPV vaccines in Colombia. Markov chain modeling has an important role in producing a “national” cohort of women in which it is possible to test the “virtual” effectiveness of HPV vaccines, transforming information that comes from international literature into national and local data. This modeling device plays a key role in the datafication of cervical cancer and HPV vaccination. The datafication of disease and populations allows connecting the calculative domains of epidemiology and economic valuation. Drawing on studies on data production, statistics and modeling I examine the role of statistics and data dynamics in the making of HPV vaccination as a public health matter. This paper offers a juxtaposition of two analytical domains entangled by the Markov chain. On the one hand, it presents an analysis of a set of technoscientific practices showing where and how a statistical enumerated entity that purports to represent cervical cancer becomes a socio-politically agential entity in the institutional life of the State. On the other, the paper discusses how social difference is left out the model. The exclusion of social difference from data production is coherent with the socio-political workings of Colombian healthcare and vaccination policy.",

author = "\{Maldonado Castaneda\}, \{Oscar Javier\}",

year = "2021",

month = feb,

day = "21",

language = "English (US)",

journal = "Tapuya: Latin American Science, Technology and Society",

issn = "2572-9861",

publisher = "Routledge",

}

TY - JOUR

T1 - Connective data

T2 - Markov chain models and the datafication of cervical cancer and HPV vaccination in Colombia

AU - Maldonado Castaneda, Oscar Javier

PY - 2021/2/21

Y1 - 2021/2/21

N2 - This article explores the role of statistical modeling in the production of sound epidemiological objects in a context in which data are perceived as fragile and precarious. It analyzes the use of Markov chain modeling in the evaluation of cost-effectiveness of HPV vaccines in Colombia. Markov chain modeling has an important role in producing a “national” cohort of women in which it is possible to test the “virtual” effectiveness of HPV vaccines, transforming information that comes from international literature into national and local data. This modeling device plays a key role in the datafication of cervical cancer and HPV vaccination. The datafication of disease and populations allows connecting the calculative domains of epidemiology and economic valuation. Drawing on studies on data production, statistics and modeling I examine the role of statistics and data dynamics in the making of HPV vaccination as a public health matter. This paper offers a juxtaposition of two analytical domains entangled by the Markov chain. On the one hand, it presents an analysis of a set of technoscientific practices showing where and how a statistical enumerated entity that purports to represent cervical cancer becomes a socio-politically agential entity in the institutional life of the State. On the other, the paper discusses how social difference is left out the model. The exclusion of social difference from data production is coherent with the socio-political workings of Colombian healthcare and vaccination policy.

AB - This article explores the role of statistical modeling in the production of sound epidemiological objects in a context in which data are perceived as fragile and precarious. It analyzes the use of Markov chain modeling in the evaluation of cost-effectiveness of HPV vaccines in Colombia. Markov chain modeling has an important role in producing a “national” cohort of women in which it is possible to test the “virtual” effectiveness of HPV vaccines, transforming information that comes from international literature into national and local data. This modeling device plays a key role in the datafication of cervical cancer and HPV vaccination. The datafication of disease and populations allows connecting the calculative domains of epidemiology and economic valuation. Drawing on studies on data production, statistics and modeling I examine the role of statistics and data dynamics in the making of HPV vaccination as a public health matter. This paper offers a juxtaposition of two analytical domains entangled by the Markov chain. On the one hand, it presents an analysis of a set of technoscientific practices showing where and how a statistical enumerated entity that purports to represent cervical cancer becomes a socio-politically agential entity in the institutional life of the State. On the other, the paper discusses how social difference is left out the model. The exclusion of social difference from data production is coherent with the socio-political workings of Colombian healthcare and vaccination policy.

UR - https://www.tandfonline.com/doi/full/10.1080/25729861.2021.1874744

M3 - Research Article

SN - 2572-9861

JO - Tapuya: Latin American Science, Technology and Society

JF - Tapuya: Latin American Science, Technology and Society

M1 - 1874744

ER -

Connective data: Markov chain models and the datafication of cervical cancer and HPV vaccination in Colombia

Resumen

ODS de las Naciones Unidas

Otros archivos y enlaces

Huella

Citar esto